In this article, we give the analogous conditions an integral operator ( , , , ) H k N m z defined by the
hypergeometric distribution belong to the ( , ) T and C .
Due to these constraints, auditors usually use a different distribution--most often the binomial distribution--as an approximation of the
hypergeometric distribution.
The
hypergeometric distribution is a discrete probability distribution that provides the number of successes in a sequence of n draws from a finite population without replacement.
A potential problem of significance testing using GO annotations is that the
hypergeometric distribution p-values are biased and sensitive to the total genes (m) used in the tests, which are not truly representing the entire genome because of the selection biases in array design and incomplete process of GO annotation.
Tests assume that successful interventions follow a
hypergeometric distribution.
Example of Analysis of Initial Hires of Salespersons Using the
Hypergeometric Distribution Unadjusted for Job Related Factors
Unfortunately, the
hypergeometric distribution is generally intractable.
The essence of the increasingly crowded quadrat problem is that the target area for the random occurrence of each additional organism decreases with increasing quadrat occupancy, a pattern that calls for the conditional probabilities of the
hypergeometric distribution, rather than the constant probabilities of the binomial.
Though this is consistent with the traditional model, it provides no help for those seeking to set a lot size associated with sporadic orders small enough to require use of the
hypergeometric distribution in determination of [P.
